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Introduction to Dimensionality Reduction When dealing with machine learning versions, we often experience datasets with a large number of capabilities.It enables us to lessen the dimension from the data without much loss of data. PCA decreases the dimension by finding a couple orthogonal linear mixtures (principal factors) of the initial variables